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high-quality, strategic procurement across a diverse and complex organisation. The role will shape and deliver category strategies that support University wide objectives in key high spend areas. You
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with large publicly available datasets, Expertise in Bayesian statistics, experience working with supercomputers. Required License(s) or Certification(s) N/A Valid NC Driver's License required
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, transaction experience, and the ability to objectively balance commercialisation objectives, fair market value, and stewardship obligations. What You’ll Do Assess commercialisation opportunities, business plans
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions
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include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has
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agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in
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reduction, analysis, and modeling tasks independently. Lead publications. Submit yearly ALMA proposals targeting outer solar system objects. Perform the corresponding data reduction and analysis tasks. Be
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data acquisition. Experience with advanced statistical or computational methods, such as mixed-effects models, hierarchical models, Bayesian models, trial-level analyses, dimensionality reduction
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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experiments addressing the project’s research objectives, including developing experimental methods where appropriate. Process, interpret and manage research data, and contribute to integrating laboratory